From Security to Community Detection in Social Networking Platforms

Description

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field. Front Matter ....Pages i-x Real-World Application of Ego-Network Analysis to Evaluate Environmental Management Structures (Andreea Nita, Steluta Manolache, Cristiana M. Ciocanea, Laurentiu Rozylowicz)....Pages 1-16 An Evolutionary Approach for Detecting Communities in Social Networks (Koray Ozturk, Faruk Polat, Tansel Özyer)....Pages 17-44 On Detecting Multidimensional Communities (Amani Chouchane, Oualid Boutemine, Mohamed Bouguessa)....Pages 45-78 Derivatives in Graph Space with Applications for Finding and Tracking Local Communities (M. Amin Rigi, Irene Moser, M. Mehdi Farhangi)....Pages 79-107 Graph Clustering Based on Attribute-Aware Graph Embedding (Esra Akbas, Peixiang Zhao)....Pages 109-131 On Counting Triangles Through Edge Sampling in Large Dynamic Graphs (Guyue Han, Harish Sethu)....Pages 133-157 Generation and Corruption of Semi-Structured and Structured Data (Samir Al-janabi, Ryszard Janicki)....Pages 159-169 A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk (Sharyn O’Halloran, Nikolai Nowaczyk, Donal Gallagher, Vivek Subramaniam)....Pages 171-192 Mining Actionable Information from Security Forums: The Case of Malicious IP Addresses (Joobin Gharibshah, Tai Ching Li, Andre Castro, Konstantinos Pelechrinis, Evangelos E. Papalexakis, Michalis Faloutsos)....Pages 193-211 Temporal Methods to Detect Content-Based Anomalies in Social Media (Jacek Skryzalin, Richard Field Jr., Andrew Fisher, Travis Bauer)....Pages 213-230 Back Matter ....Pages 231-237